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manager, forward deployed engineering

staff ml engineer advertising

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Netherlands)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

Databricks

<div>REQ ID: CSQ427R209
 
 
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.
As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.
As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.
<h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.</li>
<li>Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.</li>
<li>Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.</li>
<li>Synthesize field insights from your team&rsquo;s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.</li>
<li>Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.</li>
<li>Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.</li>
<li>5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.</li>
<li>Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.</li>
<li>Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.</li>
<li>Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.</li>
<li>Familiarity with Databricks, Apache Spark&trade;, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.</li>
<li>Ability to travel to customer sites and Databricks offices approximately 20% of the time.</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Manager, Forward Deployed Engineering

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.
As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:<ul><li>
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code</li><li>
Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads</li><li>
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)</li><li>
CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites</li><li>
Data pipelines: development of ETL scripts in Big Data environments</li><li>
Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.</li></ul> 

Qualifications 
<ul><li>
 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)</li><li>
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.</li><li>
You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).</li><li>
Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.</li><li>
You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.</li><li>
You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).</li><li>
You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
You have excellent interpersonal and team working skills</li><li>
Excellent English and Dutch verbal and written skills are required.</li></ul> 

Additional Information 
We are unable to provide a work permit for this position 
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Consultant Data Engineer

Promptwatch

<div>
 Data Scientist
 
 
 Amsterdam
 
 Full-time
 
 Medior-Senior (4+ YOE)
 
 &euro;60,000 - &euro;85,000
 
 
 Promptwatch sits on one of the richest datasets in AI Search: real AI responses across ChatGPT, Claude, Gemini, and Perplexity, combined with billions of crawler logs and clicks. We ingest around 2,000 events per second of crawler logs, CDN data, and clickstream data, on top of huge volumes of unstructured AI response text. As a Data Scientist, you'll turn this data into the metrics, models, and insights that define how agentic AI Search is measured and improved.
 
 
 This is a high-impact, hands-on role. You'll work closely with Product and Engineering to design visibility and sentiment metrics, surface trends across millions of AI answers, and build the analytical foundation that our customers and our public research rely on. Working with large amounts of unstructured data, vector search, and embeddings is at the heart of the role.
 
 
 What You'll Do:
 
 
 Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
 
 Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
 
 Make sense of large amounts of unstructured AI response text using embeddings and vector search
 
 Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
 
 Develop reproducible analyses and pipelines that scale with our growing dataset
 
 Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space.
 
 Validate data quality and define methodologies that customers can trust
 
 What
 
 
 We're Looking For:
 
 
 4+ years experience in data science, analytics, or a quantitative research role
 
 Strong proficiency in Python and SQL for data analysis
 
 Solid foundation in statistics, experimentation, and ML fundamentals
 
 Experience working with large, messy, real-world datasets, including high volumes of unstructured text
 
 Hands-on experience with vector search and embeddings
 
 Ability to translate ambiguous questions into clear, measurable analyses
 
 Strong communication skills to present findings to technical and non-technical audiences
 
 Curious and excited about AI, search, and emerging buyer behavior
 
 Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)
 
 
 Nice to Have:
 
 
 Experience with NLP or working with LLM outputs
 
 Background in SEO, search, or marketing analytics
 
 Experience building data visualizations or dashboards
 
 
 Compensation
 
 Salary: &euro;60,000 - &euro;85,000 (depending on experience)
 
 
 Perks: Great office location, team off-sites, company and team sports activities
</div>

Data Scientist

RP Group

<div>About the role:
In this pivotal role, you will act as a bridge between business and IT, translating business needs into effective BI solutions using a variety of analysis and reporting tools. You will work closely with key stakeholders to understand and leverage Landal&rsquo;s datasets, establish standards and templates, and promote best practices across the organization. 
 
Develop and maintain high-quality analytics data models, BI reports, and semantic layers that power data-driven decisions across Finance, Commerce, and Operations. The Analytics Engineer works hands-on in Databricks, DBT, and Power BI to translate raw data into reliable, well-documented assets contributing to our Customer 360 initiative, marketing attribution models, and cost-to-LTV analytics under the guidance of the Lead Analytics Engineer.
What will you do:
As a Analytics Engineer at Landal, you will play a key role in bridging the gap between business and IT, helping our organization make data-informed decisions at both strategic and tactical levels.
In this role, you will:<div><ul><li>
Build and maintain DBT data models in Databricks, ensuring data quality, performance, and documentation standards are met.</li></ul></div><div><ul><li>
Help integrating customer touchpoints across marketing, commerce, and operations.</li></ul></div><div><ul><li>
Support the development and maintenance of multi-touch attribution (MTA) models and assist in laying the groundwork for MMM.</li></ul></div><div><ul><li>
Develop and maintain Power BI dashboards, semantic models, and metric definitions that serve business stakeholders.</li></ul></div><div><ul><li>
Write and optimise SQL transformations and work with Data Engineers on ingestion pipelines across Azure and GCP.</li></ul></div><div><ul><li>
Follow version control, CI/CD, and documentation standards using Azure DevOps and Git.</li></ul></div><div><ul><li>
Work closely with the Lead Analytics Engineer and business stakeholders to translate requirements into analytics solutions.</li></ul></div><div><ul><li>
Proactively monitor data accuracy and flag integrity issues in analytical models.</li></ul></div>
This position offers a dynamic mix of hands-on development and advisory responsibilities, allowing you to have a real impact on the organization&rsquo;s data-driven decision-making.
Your work location is our new office on Wibautstraat in Amsterdam. Of course, working from home is possible, but it is desirable that you work from the office at least 3 days a week.
For this position, we can only consider applicants who are already residing in the Netherlands and hold a valid work permit.
This is you:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field such as Computer Science, Business Information Management, Engineering, or a related discipline;</li><li>A minimum of 2 years of relevant experience as a Data Analyst or Analytics Engineer;</li><li>Ideally you have some understanding of AI applied analytics, such as Databricks Genie;</li><li>Proven experience in querying, analyzing, and managing large datasets;
</li><li>Advanced proficiency in BI and analytics tools such as Power BI, DBT, Databricks, Power Apps, or similar;
</li><li>Strong experience in dashboard development and data visualization, with understanding of data relationships;
</li><li>SQL proficiency and experience with Data Modeling (Kimball) and Semantic Models;
</li><li>Hands-on experience creating comprehensive business reports and interactive dashboards; Ability to translate complex business requirements into technical BI solutions;
</li><li>Analytical skills for interpreting critical and complex data sets.</li></ul>
Come work with us, as this is what we offer!<div><div><div><div>
Together, we go all out to offer the best to our guests and colleagues. If you join us, your efforts will be rewarded with:<ul><li>
An annual contract with a trial period of one month, whereby we would of course ultimately be happy to employ you permanently.</li><li>
A salary between &euro;3.600,- and &euro;5.100,- gross per month on a full-time basis*.</li><li>
A bonus scheme.</li><li>
27 days' holiday for a full-time working week* with the option to purchase 10 additional days off.</li><li>
Flexible working hours and the possibility of (partly) working from home.</li><li>
Working from home allowance of &euro;2,40 per home working day.</li><li>
A travel allowance in accordance with the Landal travel allowance scheme based on &euro;0,23 cents per km. If you decide to travel by public transport, your travel costs will be 100% reimbursed.</li><li>
Training and education options.</li><li>
Participation in the Recreation pension fund. The standard retirement date in this scheme is 67 years. The premium for this old-age pension is 21.8% of the pension basis, with Landal and you each paying half.</li><li>
Possibility of paid additional maternity and parental leave.</li><li>
Various group insurance policies, including free continuous travel insurance for you and your family.</li><li>
A favorable staff booking scheme.</li></ul><ul><li>A full-time employment contract at Landal has a 38-hour working week, which is equivalent to a 5-day working week. If you have a part-time employment contract, your salary and vacation days are calculated pro rata.</li></ul></div></div></div></div></div><div></div>

Data Analyst

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
What you will do 
As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.
Your responsibilities include:<ul><li>
Leading an internal team towards the development of AI products;</li><li>
Working in a multidisciplinary team on client projects as an expert on your subject;</li><li>
Making architectural and design decisions for cloud environments;</li><li>
Building production level ML/AI solutions with solid software engineering;</li><li>
Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping);</li><li>
Giving trainings, leading internal meetings and organizing external events;</li><li>
Participating in team meetings and workshops with clients;</li><li>
Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead.</li></ul>
Who you will work with 
The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.
Who you are<ul><li>
You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.</li><li>
You have first-rate project management and time management skills.</li><li>
You are a true problem solver, you turn complex issues into simple and impactful business solutions.</li><li>
You are enthusiastic for applying Data Science/Engineering solutions to business problems.</li><li>
You have excellent communication skills and can present complicated concepts in a synthetic way.</li><li>
You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.</li><li>
You have the ability to work collaboratively in a team environment.</li></ul>
In return, you can expect:<ul><li>
An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.</li><li>
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged</li><li>
A personal development plan with a regular follow-up as well training opportunities to develop yourself</li><li>
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...</li></ul> 

Qualifications 
<ul><li>
MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.</li><li>
2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.</li><li>
Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).</li><li>
Expert coding skills in Python and at least one of these languages: Scala, C++, Java.</li><li>
Hands-on experience with database management languages (e.g., SQL, PostgreSQL).</li><li>
Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).</li><li>
Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).</li><li>
Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Experience with coaching/mentoring other engineers.</li><li>
Prior experience in Management Consulting is a strong plus.</li><li>
Willingness to travel and work at local and international clients.</li><li>
Fluency in spoken and written English and Dutch is required.</li></ul> 

Additional Information 
We are unable to provide a work permit for this position
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Machine learning Engineer

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

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